Alle Papers – KI in der Krebserkennung

Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks

Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data

Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ

Alcohol, tobacco, and mammographic density: a population-based study

An Efficient Combination of Convolutional Neural Network and LightGBM Algorithm for Lung Cancer Histopathology Classification

Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach

Image segmentation in digital mammography: Comparison of local thresholding and region growing algorithms

IoMT-Based Osteosarcoma Cancer Detection in Histopathology Images Using Transfer Learning Empowered with Blockchain, Fog Computing, and Edge Computing

Application of the convolutional neural networks and supervised deep-learning methods for osteosarcoma bone cancer detection

Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscle

Classification of Skin Cancer Lesions Using Explainable Deep Learning

Mammographic Breast Density: Comparison of Methods for Quantitative Evaluation

Image feature analysis and computer-aided diagnosis in mammography: Reduction of false-positive clustered microcalcifications using local edge-gradient analysis

Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation

Automatic detection of mesiodens on panoramic radiographs using artificial intelligence

Artificial intelligence in cancer diagnostics and therapy: current perspectives

Ultrasonography Using Simple Diagnostic Criteria vs Palpation for the Detection of Regional Lymph Node Metastases of Melanoma

Lung nodule classification using artificial crawlers, directional texture and support vector machine

Image standards in Tissue-Based Diagnosis (Diagnostic Surgical Pathology)

Artificial intelligence in clinical research of cancers

Digital image analysis in pathology: benefits and obligation.

Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system

Extent of atypical hyperplasia stratifies breast cancer risk in 2 independent cohorts of women

Breast Cancer Classification From Histopathological Images Using Resolution Adaptive Network